Computing uncertainty of physiographic features extracted from multiscale digital elevation models

In this paper, it is proposed that the mapping of uncertainties of the three predominant physiographic features of terrains, which are mountain, basins and piedmont slopes, using variation in the spatial resolution over which these landforms are defined, can be performed with fuzzy classification. T...

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Main Authors: Hani, A.F.M., Sathyamoorthy, D., Asirvadam, V.S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.31346 /
Published: 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890854702&doi=10.1016%2fj.cageo.2013.11.005&partnerID=40&md5=bf3d894a62e730398b700494878ec044
http://eprints.utp.edu.my/31346/
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spelling utp-eprints.313462022-03-25T09:06:36Z Computing uncertainty of physiographic features extracted from multiscale digital elevation models Hani, A.F.M. Sathyamoorthy, D. Asirvadam, V.S. In this paper, it is proposed that the mapping of uncertainties of the three predominant physiographic features of terrains, which are mountain, basins and piedmont slopes, using variation in the spatial resolution over which these landforms are defined, can be performed with fuzzy classification. The proposed methodology allows for the generation of fuzzy certainty maps which assign high levels of uncertainty to regions with high levels of change across scales. This paper demonstrates that fuzzy certainty maps provide a better quantification of landform character than Boolean landform maps alone. In terms of sensitivity to noise, the methodology is able to identify narrow bridges, and spurious landforms, and assign these errors with low certainty values. However, it is unable to identify spurious modifications to landform shape, with these errors being assigned high certainty values. Ground truth maps are required to identify these errors. © 2013 Elsevier Ltd. 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890854702&doi=10.1016%2fj.cageo.2013.11.005&partnerID=40&md5=bf3d894a62e730398b700494878ec044 Hani, A.F.M. and Sathyamoorthy, D. and Asirvadam, V.S. (2014) Computing uncertainty of physiographic features extracted from multiscale digital elevation models. Computers and Geosciences, 64 . pp. 15-23. http://eprints.utp.edu.my/31346/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In this paper, it is proposed that the mapping of uncertainties of the three predominant physiographic features of terrains, which are mountain, basins and piedmont slopes, using variation in the spatial resolution over which these landforms are defined, can be performed with fuzzy classification. The proposed methodology allows for the generation of fuzzy certainty maps which assign high levels of uncertainty to regions with high levels of change across scales. This paper demonstrates that fuzzy certainty maps provide a better quantification of landform character than Boolean landform maps alone. In terms of sensitivity to noise, the methodology is able to identify narrow bridges, and spurious landforms, and assign these errors with low certainty values. However, it is unable to identify spurious modifications to landform shape, with these errors being assigned high certainty values. Ground truth maps are required to identify these errors. © 2013 Elsevier Ltd.
format Article
author Hani, A.F.M.
Sathyamoorthy, D.
Asirvadam, V.S.
spellingShingle Hani, A.F.M.
Sathyamoorthy, D.
Asirvadam, V.S.
Computing uncertainty of physiographic features extracted from multiscale digital elevation models
author_sort Hani, A.F.M.
title Computing uncertainty of physiographic features extracted from multiscale digital elevation models
title_short Computing uncertainty of physiographic features extracted from multiscale digital elevation models
title_full Computing uncertainty of physiographic features extracted from multiscale digital elevation models
title_fullStr Computing uncertainty of physiographic features extracted from multiscale digital elevation models
title_full_unstemmed Computing uncertainty of physiographic features extracted from multiscale digital elevation models
title_sort computing uncertainty of physiographic features extracted from multiscale digital elevation models
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890854702&doi=10.1016%2fj.cageo.2013.11.005&partnerID=40&md5=bf3d894a62e730398b700494878ec044
http://eprints.utp.edu.my/31346/
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score 11.62408

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